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Aaron D. Likens

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.QM2
  • cs.ET1
  • cs.HC1
ORCID 0000-0002-6535-5772
same name
  • Aaron D. Likens — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedBetter than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences

6 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.HC2023★ 1 cited

ARWalker: A Virtual Walking Companion Application

Pubudu Wijesooriya, Aaron Likens, Nick Stergiou +1

Extended Reality (XR) technologies, including Augmented Reality (AR), have attracted significant attention over the past few years and have been utilized in several fields, includi…

cs.ET2023

A Nonlinear Analysis Software Toolkit for Biomechanical Data

Shifat Sarwar, Aaron Likens, Nick Stergiou +1

In this paper, we present a nonlinear analysis software toolkit, which can help in biomechanical gait data analysis by implementing various nonlinear statistical analysis algorithm…

q-bio.QM2023★ 1 cited

Optimizing a Bayesian method for estimating the Hurst exponent in behavioral sciences

Madhur Mangalam, Taylor Wilson, Joel Sommerfeld +1

The Bayesian Hurst-Kolmogorov (HK) method estimates the Hurst exponent of a time series more accurately than the age-old detrended fluctuation analysis (DFA), especially when the t…

q-bio.QM2023★ 6 cited

Better than DFA? A Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences

Aaron D. Likens, Madhur Mangalam, Aaron Y. Wong +2

Detrended Fluctuation Analysis (DFA) is the most popular fractal analytical technique used to evaluate the strength of long-range correlations in empirical time series in terms of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.